Matthew C. Fitzpatrick

11.3k citations
69 papers · 7.2k indexed · 6 hit papers · h-index 35

Matthew C. Fitzpatrick

69 papers receiving 7.0k citations

Hit Papers

Genomic Predic...19019932026200420154008001.2k

Peers

Matthew C. Fitzpatrick
Comparison fields: 5 of 150
  • Ecological Modeling 3.4k
  • Nature and Landscape Conservation 2.7k
  • Ecology 3.0k
  • Ecology, Evolution, Behavior and Systematics 1.9k
  • Global and Planetary Change 1.3k
Replace Robert B. O’Hara with:
Robert B. O’Hara Germany
Miguel Nakamura Mexico
Daniel Chessel France
Gurutzeta Guillera‐Arroita Australia
Fangliang He Canada
Alberto Jiménez‐Valverde Spain
Mark L. Taper United States
Paul Beier United States
H. Reşi̇t Akçakaya United States
Oscar E. Gaggiotti United Kingdom
Matthew C. Fitzpatrick relative to Robert B. O’Hara Germany Robert B. O’Hara's profile →
Citations per field
00.5×1.5×
Robert B. O’Hara · 1×
Citations per year

Countries citing papers authored by Matthew C. Fitzpatrick

Since Specialization
Citations

This map shows the geographic impact of Matthew C. Fitzpatrick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew C. Fitzpatrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. Fitzpatrick more than expected).

Fields of papers citing papers by Matthew C. Fitzpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Fitzpatrick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew C. Fitzpatrick. The network helps show where Matthew C. Fitzpatrick may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Matthew C. Fitzpatrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew C. Fitzpatrick Line = papers co-authored together Matthew C. Fitzpatrick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202313
3 202327
4 20238
5 202315
6 202288
7 202211
8 20212
9 202017
10 201984
11 201854
12
Ecological genomics meets community‐level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptationbreakdown →
2014466
13 201336
14
Space can substitute for time in predicting climate-change effects on biodiversitybreakdown →
2013561
15 201164
16 201180
17 201030
18 2009194
19 200728
20 199519

About Matthew C. Fitzpatrick

Matthew C. Fitzpatrick is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, having authored 69 papers that have together received 7.2k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (34 papers), Ecology and Vegetation Dynamics Studies (27 papers), Wildlife Ecology and Conservation (15 papers), Plant and animal studies (13 papers), Genetic diversity and population structure (11 papers), Genetic and phenotypic traits in livestock (8 papers), Forest Insect Ecology and Management (8 papers) and Insect and Arachnid Ecology and Behavior (6 papers). The work is most often cited by research in Ecological Modeling (3.4k citations), Nature and Landscape Conservation (2.7k citations) and Ecology (3.0k citations). Matthew C. Fitzpatrick has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Stephen R. Keller, John Bunge, Jessica L. Blois, Robert R. Dunn, Nathan J. Sanders, Simon Ferrier, John W. Williams, William W. Hargrove, Seth Finnegan and Phoebe L. Zarnetske.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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